Novi Connect
Also known as: Novi
Verified product data infrastructure platform that helps CPG and retail brands get their products selected and recommended in AI commerce, structuring SKU level data and trust signals, verifying claims, and measuring AI shopping visibility tied to sales.
Novi Connect, based in the San Francisco Bay Area with offices in New York and beyond, is a data infrastructure platform that helps consumer packaged goods and retail brands get their products recommended in AI driven commerce. Founded in 2020 and led by co founder and chief executive Kimberly Shenk, it raised a Series B round from investors including Greylock, Khosla Ventures, Maveron, and Tiger Global, with clean living advocate Jessica Alba among its backers. Its thesis is that product data is broken infrastructure, and that as shoppers increasingly ask AI what to buy, the brands that win are the ones whose products are understood, trusted, and consistently recommended on the AI shelf.
Novi acts as a verified data network sitting between brands, certification bodies, standards holders, and major retailers and marketplaces like Target, Ulta, Sephora, and Amazon. It structures and optimizes product content and trust signals at the SKU level so that AI systems can select, rank, and recommend the right products, verifies claims about ingredients, materials, certifications, and business practices, and distributes that high authority product data at scale to the places where shoppers and AI models search. On top of the data layer, its AI Shopping Optimizer gives brands measurable visibility into how they appear in AI driven results, where they are trusted, where they are missing, and how they compare within a category, and recommends the certifications and standards a brand should pursue to earn its place. The company reports lifts such as a large increase in AI selection rates for optimized products.
Novi is a focused data and optimization platform rather than an autonomous agent that acts across a business, so on the axes that describe a deployed agent, security governance, deployment options, model choice, a library of prebuilt agents, and computer use, it is not the right lens, and its composite score reflects that narrowness. Its strengths are verified product knowledge and clear measurement of AI visibility tied to sales outcomes. For a consumer packaged goods or retail brand that wants its individual products to be chosen by AI shopping systems, and to measure and improve that visibility, Novi is a well aligned and differentiated fit; a team wanting a general agent platform, or capabilities beyond product data and AI discovery, will find it purpose built for the AI shelf.
Vendor details
Canonical URL
https://www.noviconnect.com
Category
GTM / revenue agent
Subcategory
Verified product data and AI shopping optimization for CPG
Funding status
Independent, headquartered in the San Francisco Bay Area with offices in New York and a presence in Los Angeles, Nashville, and Toronto, founded in 2020 and led by co founder and chief executive Kimberly Shenk. Novi raised a Series B round from investors including Greylock, Khosla Ventures, Maveron, Cowboy Ventures, and Tiger Global, with clean living advocate Jessica Alba among its backers. It works with major retailers including Target, Ulta, Sephora, Amazon, and Macy's and joined the NielsenIQ Partner Network to create a single source of truth for verified CPG product data.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Novi operates as a verified data network connecting brands, certification bodies, standards holders, and major retailers and marketplaces like Target, Ulta, Sephora, and Amazon, distributing high authority product data to where shoppers and AI models search. It joined the NielsenIQ Partner Network for CPG data integration and runs on Google Cloud, structuring product feeds so AI systems can select, rank, and recommend products.
In practice
Shoppers increasingly ask AI which product to buy, and you have no idea whether your brand makes the shortlist or why. Novi measures how you appear across AI driven results and shows where you are trusted and where you are missing.
Your product data is fragmented and inconsistent, so AI systems misread your claims and skip your SKUs. Novi structures and verifies SKU level data and trust signals so AI can understand and recommend your products.
You invest in certifications and sustainability but cannot connect them to sales. Novi recommends which standards to pursue and ties verified claims and AI visibility to real recommendation and revenue outcomes.
Sources & related URLs
Research sources
Research notes
Added via Crunchbase agentic discovery CSV, enriched full fidelity 2026-07-07. Categorized GTM / revenue as product data infrastructure and AI shopping optimization. Narrow niche tool: it is a data and optimization platform rather than an autonomous agent, so several agent axes score N and the composite is intentionally low under straight scoring. Independent; Series B.
Capability coverage
5.5 / 14 capabilities · 39%
| Integrations & Tool CallingOperates as a data network connecting brands, certification bodies, and retailers like Target and Amazon and distributes verified product data at scale, though it does not act agentically across business systems, Novi Connect docs 2026-07-07 | Partial |
|---|---|
| Workflow OrchestrationRuns workflows for claim verification, certification recommendation, and data distribution, but not multi agent orchestration, Novi Connect docs 2026-07-07 | Partial |
| Knowledge Grounding & RAGIts core is a verified, high authority product data layer grounding AI systems in structured SKU level attributes, claims, and trust signals, Novi Connect docs 2026-07-07 | Full |
| Human Oversight & GuardrailsRecommendations on certifications and standards are advisory and verification involves expert review, so people decide and act, Novi Connect docs 2026-07-07 | Partial |
| Security, Identity & GovernanceEmphasizes verified and trusted product data, but formal security certifications and governance controls are not documented, Novi Connect docs 2026-07-07 | Unable to verify |
| Observability & AuditabilityProvides measurable visibility into how a brand appears in AI driven results, where it is trusted, where it is missing, and how it compares, tied to sales outcomes, Novi Connect docs 2026-07-07 | Full |
| Memory & State PersistenceMaintains a persistent verified product data network as a system of record since 2020, though a distinct learning memory is only implied, Novi Connect docs 2026-07-07 | Partial |
| Deployment & Data ResidencyDelivered as a cloud service on Google Cloud with no on premise or customer controlled residency option documented, Novi Connect docs 2026-07-07 | Unable to verify |
| Prebuilt Agents, Templates & PacksOffers a data platform and an AI Shopping Optimizer rather than a library of prebuilt agents or templates, Novi Connect docs 2026-07-07 | Unable to verify |
| Triggers & Channel CoverageMonitors AI visibility and flags where a brand is missing, with data distributed on updates, though triggering is not broadly real time or event driven, Novi Connect docs 2026-07-07 | Partial |
| Model Flexibility & RoutingOptimizes product data for external AI shopping systems rather than running or routing a customer chosen model, Novi Connect docs 2026-07-07 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityDistributes product data through feeds and partner integrations like NielsenIQ, but a public developer SDK or MCP surface is not documented, Novi Connect docs 2026-07-07 | Partial |
| Testing, Debugging & OptimizationMeasures AI selection rates, visibility, and category comparison and connects them to sales, though this is outcome measurement rather than an agent testing surface, Novi Connect docs 2026-07-07 | Partial |
| Browser & Computer UseOptimizes product data rather than driving a browser or operating a computer interface, Novi Connect docs 2026-07-07 | Unable to verify |
Pricing
Not public; quoted through enterprise engagement, scaled to SKUs, categories, and verification and distribution scope
enterprise engagement scaled to SKUs, categories, and verification and distribution scope
What is public
No list pricing. Novi sells to brands and retailers through enterprise engagement, but rates are not public.
Billing mechanics
Presumed enterprise engagement scaled to the number of SKUs and categories, the verification work performed, and the distribution scope across retailer and AI ecosystems, though rates are not disclosed.
Cost watchouts
Cost scales with the number of SKUs and categories verified and the breadth of certification and distribution work, and ongoing optimization is a recurring rather than one time expense.
Variable cost rationale
Priced against the number of SKUs and categories and the verification and distribution scope, so cost grows with catalog size and how broadly a brand wants its verified data optimized and distributed.
Additional watchouts
Confirm whether pricing is per SKU, per category, or a platform subscription, and how verification, distribution, and ongoing AI visibility optimization each factor into the quote.
Sales call required
Yes — required for paid access
Free / trial
Assessment and demo on request; an initial AI visibility read is offered but no public free tier
Key ambiguities
No public rate is disclosed, and whether pricing is per SKU, per category, or a platform subscription with distribution fees is not clear.
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